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Learner Reviews & Feedback for Probability Theory: Foundation for Data Science by University of Colorado Boulder

4.5
stars
233 ratings

About the Course

Understand the foundations of probability and its relationship to statistics and data science.  We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events.  We’ll study discrete and continuous random variables and see how this fits with data collection.  We’ll end the course with Gaussian (normal) random variables and the Central Limit Theorem and understand its fundamental importance for all of statistics and data science. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder Logo adapted from photo by Christopher Burns on Unsplash....

Top reviews

TQ

Mar 4, 2023

This course taught me the basics of probability, R programming, and Latex. I am deeply grateful to Prof. Anne Dougherty, UC Boulder, and Coursera for this tough but wonderful experience.

MB

Jun 15, 2022

This is a great course on probability. Although I felt like it was too easy and should include more PDFs (such as Beta and Gamma) and random variable transformations.

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26 - 50 of 57 Reviews for Probability Theory: Foundation for Data Science

By Peter C

•

Sep 3, 2023

Formula sheet a bit wrong and some lectures out of order. But, great course to get into stats!

By Hà T P

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Jun 3, 2024

Thank you to everyone who put a lot of effort into making this course; it is really helpful.

By Julian U C

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Jan 30, 2023

Marvelous course.......

It is the best course in all coursera. Thanks a lot <3

By Chichassov D

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Oct 19, 2024

Thanks for this course to provide crucial information about Probabilities!

By Mauricio G F

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Jul 20, 2021

It was a great course. Good combination between theory and practice.

By Vincent C

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Aug 18, 2023

Excellent Review of probability. Interesting quizzes and projects.

By Gerardo C P

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Aug 2, 2024

Anne Dougherty es una gran docente. Me encantó este curso!

By 상은 김

•

Oct 5, 2021

Helpful to understand data sciences basic thories

By Teguh R Z

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Oct 18, 2024

Amazing, I've never found course like this before

By Daniel C

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Feb 3, 2022

Exactly the probability course I was looking for

By Mattias P

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May 4, 2023

Good material and good and clear exam questions

By Hidetake T

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Mar 30, 2022

Good course with sufficient amount of practice.

By Michshenko V

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Oct 25, 2024

пожалуйста скиньте сертификат А так всё круто

By Ряш М Қ

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Oct 24, 2024

очень сложный но интересный

By Claudia G D

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Mar 3, 2022

The course is very good.

By ILYES B

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Sep 12, 2022

great course thank youu

By BING X

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Jan 14, 2023

Very nice course!

By Aiping L

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Sep 26, 2024

Excellent course

By Kyle A

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Feb 21, 2022

Great Course!

By Matt E

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May 8, 2022

Lots of fun

By Sovet M M

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Oct 27, 2024

Meiirim

By Жалғас Н М

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Oct 19, 2024

cfssfd

By Bakhytzhan A A

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Oct 24, 2022

good

By Rakhmanov B

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Oct 19, 2024

good

By Издибаев С Е

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Oct 9, 2023

good